{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 日期和时间\n",
    "* Python 程序能用很多方式处理日期和时间，转换日期格式是一个常见的功能。\n",
    "* Python 提供了一个 time 和 calendar 模块可以用于格式化日期和时间。\n",
    "* 时间间隔是以秒为单位的浮点小数。\n",
    "* 每个时间戳都以自从1970年1月1日午夜（历元）经过了多长时间来表示。\n",
    "* Python 的 time 模块下有很多函数可以转换常见日期格式。\n",
    "* 函数time.time()用于获取当前时间戳, "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1529248021.8936598\n"
     ]
    }
   ],
   "source": [
    "import time # 引入time模块\n",
    "print(time.time())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "时间戳单位最适于做日期运算。但是1970年之前的日期就无法以此表示了。太遥远的日期也不行，UNIX和Windows只支持到2038年。"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 什么是时间元组？\n",
    "* 很多Python函数用一个元组装起来的9组数字处理时间:<br>\n",
    "<img src='attachment:image.png' align=left><br>"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 上述也就是struct_time元组。这种结构具有如下属性：<br>\n",
    "<img src='attachment:image.png' align=left><br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 获取当前时间\n",
    "从返回浮点数的时间辍方式向时间元组转换，只要将浮点数传递给如localtime之类的函数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "当前时间为 time.struct_time(tm_year=2018, tm_mon=6, tm_mday=17, tm_hour=23, tm_min=19, tm_sec=6, tm_wday=6, tm_yday=168, tm_isdst=0)\n"
     ]
    }
   ],
   "source": [
    "l = time.localtime(time.time())\n",
    "print('当前时间为' , l)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 获取格式化的时间\n",
    "你可以根据需求选取各种格式，但是最简单的获取可读的时间模式的函数是asctime():"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sun Jun 17 23:20:56 2018\n"
     ]
    }
   ],
   "source": [
    "print(time.asctime(time.localtime(time.time())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 格式化日期\n",
    "我们可以使用 time 模块的 strftime 方法来格式化日期，："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-06-17 23:41:44\n"
     ]
    }
   ],
   "source": [
    "# 2018-08-08 12:12:12 \n",
    "print(time.strftime(\"%Y-%m-%d %H:%M:%S\",time.localtime()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# python中时间日期格式化符号：\n",
    "* %y 两位数的年份表示（00-99）\n",
    "* %Y 四位数的年份表示（000-9999）\n",
    "* %m 月份（01-12）\n",
    "* %d 月内中的一天（0-31）\n",
    "* %H 24小时制小时数（0-23）\n",
    "* %I 12小时制小时数（01-12）\n",
    "* %M 分钟数（00=59）\n",
    "* %S 秒（00-59）\n",
    "* %a 本地简化星期名称\n",
    "* %A 本地完整星期名称\n",
    "* %b 本地简化的月份名称\n",
    "* %B 本地完整的月份名称\n",
    "* %c 本地相应的日期表示和时间表示\n",
    "* %j 年内的一天（001-366）\n",
    "* %p 本地A.M.或P.M.的等价符\n",
    "* %U 一年中的星期数（00-53）星期天为星期的开始\n",
    "* %w 星期（0-6），星期天为星期的开始\n",
    "* %W 一年中的星期数（00-53）星期一为星期的开始\n",
    "* %x 本地相应的日期表示\n",
    "* %X 本地相应的时间表示\n",
    "* %Z 当前时区的名称\n",
    "* %% %号本身"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "18                            -----%y 两位数的年份表示（00-99）\n",
      "2018                          -----%Y 四位数的年份表示（000-9999）\n",
      "06                            -----%m 月份（01-12）\n",
      "17                            -----%d 月内中的一天（0-31）\n",
      "23                            -----%H 24小时制小时数（0-23）\n",
      "11                            -----%I 12小时制小时数（01-12）\n",
      "45                            -----%M 分钟数（00=59）\n",
      "23                            -----%S 秒（00-59）\n",
      "Sun                           -----%a 本地简化星期名称\n",
      "Sunday                        -----%A 本地完整星期名称\n",
      "Jun                           -----%b 本地简化的月份名称\n",
      "June                          -----%B 本地完整的月份名称\n",
      "Sun Jun 17 23:45:23 2018      -----%c 本地相应的日期表示和时间表示\n",
      "168                           -----%j 年内的一天（001-366）\n",
      "PM                            -----%p 本地A.M.或P.M.的等价符\n",
      "24                            -----%U 一年中的星期数（00-53）星期天为星期的开始\n",
      "0                             -----%w 星期（0-6），星期天为星期的开始\n",
      "24                            -----%W 一年中的星期数（00-53）星期一为星期的开始\n",
      "06/17/18                      -----%x 本地相应的日期表示\n",
      "23:45:23                      -----%X 本地相应的时间表示\n",
      "?D1¨²¡À¨º¡Á?¨º¡À??            -----%Z 当前时区的名称\n",
      "%                             -----%% %号本身\n"
     ]
    }
   ],
   "source": [
    "ls=[\"%y 两位数的年份表示（00-99）\"\n",
    ",\"%Y 四位数的年份表示（000-9999）\"\n",
    ",\"%m 月份（01-12）\"\n",
    ",\"%d 月内中的一天（0-31）\"\n",
    ",\"%H 24小时制小时数（0-23）\"\n",
    ",\"%I 12小时制小时数（01-12）\"\n",
    ",\"%M 分钟数（00=59）\"\n",
    ",\"%S 秒（00-59）\"\n",
    ",\"%a 本地简化星期名称\"\n",
    ",\"%A 本地完整星期名称\"\n",
    ",\"%b 本地简化的月份名称\"\n",
    ",\"%B 本地完整的月份名称\"\n",
    ",\"%c 本地相应的日期表示和时间表示\"\n",
    ",\"%j 年内的一天（001-366）\"\n",
    ",\"%p 本地A.M.或P.M.的等价符\"\n",
    ",\"%U 一年中的星期数（00-53）星期天为星期的开始\"\n",
    ",\"%w 星期（0-6），星期天为星期的开始\"\n",
    ",\"%W 一年中的星期数（00-53）星期一为星期的开始\"\n",
    ",\"%x 本地相应的日期表示\"\n",
    ",\"%X 本地相应的时间表示\"\n",
    ",\"%Z 当前时区的名称\"\n",
    ",\"%% %号本身\"]\n",
    "for i in ls:\n",
    "    print('{0:30}-----{1}'.format(time.strftime(i[:2],time.localtime()),i))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 获取某月日历\n",
    "Calendar模块有很广泛的方法用来处理年历和月历，例如打印某月的月历："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018年6月的日历：\n",
      "     June 2018\n",
      "Mo Tu We Th Fr Sa Su\n",
      "             1  2  3\n",
      " 4  5  6  7  8  9 10\n",
      "11 12 13 14 15 16 17\n",
      "18 19 20 21 22 23 24\n",
      "25 26 27 28 29 30\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import calendar\n",
    "cal=calendar.month(2018,6)\n",
    "print('2018年6月的日历：')\n",
    "print(cal)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Time 模块内置函数\n",
    "# time.altzone\n",
    "返回格林威治西部的夏令时地区的偏移秒数。如果该地区在格林威治东部会返回负值（如西欧，包括英国）。对夏令时启用地区才能使用。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-32400\n"
     ]
    }
   ],
   "source": [
    "print(time.altzone)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# time.asctime([tupletime])\n",
    "接受时间元组并返回一个可读的形式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sun Jun 17 23:59:27 2018\n"
     ]
    }
   ],
   "source": [
    "print(time.asctime(time.localtime()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# time clock()\n",
    "以浮点数计算的秒数返回当前的CPU时间。用来衡量不同程序的耗时。<br>\n",
    "需要注意，在不同的系统上含义不同。在UNIX系统上，它返回的是\"进程时间\"，它是用秒表示的浮点数（时间戳）。而在WINDOWS中，第一次调用，返回的是进程运行的实际时间。而第二次之后的调用是自第一次调用以后到现在的运行时间。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19.352420381693953"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time.clock()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# time.ctime([secs])\n",
    "作用相当于asctime(localtime(secs))，未给参数相当于asctime()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mon Jun 18 00:02:04 2018\n",
      "Mon Jun 18 00:02:04 2018\n"
     ]
    }
   ],
   "source": [
    "print(time.asctime(time.localtime()))\n",
    "print(time.ctime(time.time()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# time.gmtime([secs])\n",
    "接收时间辍（1970纪元后经过的浮点秒数）并返回格林威治天文时间下的时间元组t。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time.struct_time(tm_year=2018, tm_mon=6, tm_mday=17, tm_hour=16, tm_min=4, tm_sec=22, tm_wday=6, tm_yday=168, tm_isdst=0)\n"
     ]
    }
   ],
   "source": [
    "print(time.gmtime(time.time()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# time.localtime([secs]\n",
    "接收时间辍（1970纪元后经过的浮点秒数）并返回当地时间下的时间元组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time.struct_time(tm_year=2018, tm_mon=6, tm_mday=18, tm_hour=0, tm_min=5, tm_sec=37, tm_wday=0, tm_yday=169, tm_isdst=0)\n"
     ]
    }
   ],
   "source": [
    "print(time.localtime())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# time.mktime(tupletime)\n",
    "接受时间元组并返回时间辍（1970纪元后经过的浮点秒数）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1529251617.0\n"
     ]
    }
   ],
   "source": [
    "print(time.mktime(time.localtime()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# time.sleep(secs)\n",
    "推迟调用线程的运行，secs指秒数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start...\n",
      "end\n"
     ]
    }
   ],
   "source": [
    "print(\"start...\")\n",
    "time.sleep(3)\n",
    "print('end')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# time.strftime(fmt[,tupletime])\n",
    "接收以时间元组，并返回以可读字符串表示的当地时间，格式由fmt决定。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018\n"
     ]
    }
   ],
   "source": [
    "print(time.strftime('%Y'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# time.strptime(str,fmt='%a %b %d %H:%M:%S %Y')\n",
    "根据fmt的格式把一个时间字符串解析为时间元组。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time.struct_time(tm_year=2017, tm_mon=1, tm_mday=1, tm_hour=0, tm_min=0, tm_sec=0, tm_wday=6, tm_yday=1, tm_isdst=-1)\n"
     ]
    }
   ],
   "source": [
    "print(time.strptime('2017.01.01','%Y.%m.%d'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# time.time( )\n",
    "返回当前时间的时间戳（1970纪元后经过的浮点秒数）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1529251933.9630861\n"
     ]
    }
   ],
   "source": [
    "print(time.time())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 日历（Calendar）模块、内置函数\n",
    "此模块的函数都是日历相关的，例如打印某月的字符月历。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.calendar(year,w=2,l=1,c=6)\n",
    "返回一个多行字符串格式的year年年历，3个月一行，间隔距离为c。 每日宽度间隔为w字符。每行长度为21\\* W+18+2\\* C。l是每星期行数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                  2018\n",
      "\n",
      "      January                   February                   March\n",
      "Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su\n",
      " 1  2  3  4  5  6  7                1  2  3  4                1  2  3  4\n",
      " 8  9 10 11 12 13 14       5  6  7  8  9 10 11       5  6  7  8  9 10 11\n",
      "15 16 17 18 19 20 21      12 13 14 15 16 17 18      12 13 14 15 16 17 18\n",
      "22 23 24 25 26 27 28      19 20 21 22 23 24 25      19 20 21 22 23 24 25\n",
      "29 30 31                  26 27 28                  26 27 28 29 30 31\n",
      "\n",
      "       April                      May                       June\n",
      "Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su\n",
      "                   1          1  2  3  4  5  6                   1  2  3\n",
      " 2  3  4  5  6  7  8       7  8  9 10 11 12 13       4  5  6  7  8  9 10\n",
      " 9 10 11 12 13 14 15      14 15 16 17 18 19 20      11 12 13 14 15 16 17\n",
      "16 17 18 19 20 21 22      21 22 23 24 25 26 27      18 19 20 21 22 23 24\n",
      "23 24 25 26 27 28 29      28 29 30 31               25 26 27 28 29 30\n",
      "30\n",
      "\n",
      "        July                     August                  September\n",
      "Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su\n",
      "                   1             1  2  3  4  5                      1  2\n",
      " 2  3  4  5  6  7  8       6  7  8  9 10 11 12       3  4  5  6  7  8  9\n",
      " 9 10 11 12 13 14 15      13 14 15 16 17 18 19      10 11 12 13 14 15 16\n",
      "16 17 18 19 20 21 22      20 21 22 23 24 25 26      17 18 19 20 21 22 23\n",
      "23 24 25 26 27 28 29      27 28 29 30 31            24 25 26 27 28 29 30\n",
      "30 31\n",
      "\n",
      "      October                   November                  December\n",
      "Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su\n",
      " 1  2  3  4  5  6  7                1  2  3  4                      1  2\n",
      " 8  9 10 11 12 13 14       5  6  7  8  9 10 11       3  4  5  6  7  8  9\n",
      "15 16 17 18 19 20 21      12 13 14 15 16 17 18      10 11 12 13 14 15 16\n",
      "22 23 24 25 26 27 28      19 20 21 22 23 24 25      17 18 19 20 21 22 23\n",
      "29 30 31                  26 27 28 29 30            24 25 26 27 28 29 30\n",
      "                                                    31\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(calendar.calendar(2018))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.firstweekday( )\n",
    "返回当前每周起始日期的设置。默认情况下，首次载入caendar模块时返回0，即星期一。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calendar.firstweekday()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# \tcalendar.isleap(year)\n",
    "是闰年返回True，否则为false。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calendar.isleap(2016)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.leapdays(y1,y2)\n",
    "返回在Y1，Y2两年之间的闰年总数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calendar.leapdays(2000,2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.month(year,month,w=2,l=1)\n",
    "返回一个多行字符串格式的year年month月日历，两行标题，一周一行。每日宽度间隔为w字符。每行的长度为7\\*w+6。l是每星期的行数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     June 2018\n",
      "Mo Tu We Th Fr Sa Su\n",
      "             1  2  3\n",
      " 4  5  6  7  8  9 10\n",
      "11 12 13 14 15 16 17\n",
      "18 19 20 21 22 23 24\n",
      "25 26 27 28 29 30\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(calendar.month(2018,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.monthcalendar(year,month)\n",
    "返回一个整数的单层嵌套列表。每个子列表装载代表一个星期的整数。Year年month月外的日期都设为0;范围内的日子都由该月第几日表示，从1开始。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0, 0, 0, 0, 1, 2, 3], [4, 5, 6, 7, 8, 9, 10], [11, 12, 13, 14, 15, 16, 17], [18, 19, 20, 21, 22, 23, 24], [25, 26, 27, 28, 29, 30, 0]]\n"
     ]
    }
   ],
   "source": [
    "print(calendar.monthcalendar(2018,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.monthrange(year,month)\n",
    "返回两个整数。第一个是该月的星期几的日期码，第二个是该月的日期码。日从0（星期一）到6（星期日）;月从1到12。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 31)\n"
     ]
    }
   ],
   "source": [
    "print(calendar.monthrange(2018,8))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.prcal(year,w=2,l=1,c=6)\n",
    "相当于 print calendar.calendar(year,w,l,c)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                  2018\n",
      "\n",
      "      January                   February                   March\n",
      "Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su\n",
      " 1  2  3  4  5  6  7                1  2  3  4                1  2  3  4\n",
      " 8  9 10 11 12 13 14       5  6  7  8  9 10 11       5  6  7  8  9 10 11\n",
      "15 16 17 18 19 20 21      12 13 14 15 16 17 18      12 13 14 15 16 17 18\n",
      "22 23 24 25 26 27 28      19 20 21 22 23 24 25      19 20 21 22 23 24 25\n",
      "29 30 31                  26 27 28                  26 27 28 29 30 31\n",
      "\n",
      "       April                      May                       June\n",
      "Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su\n",
      "                   1          1  2  3  4  5  6                   1  2  3\n",
      " 2  3  4  5  6  7  8       7  8  9 10 11 12 13       4  5  6  7  8  9 10\n",
      " 9 10 11 12 13 14 15      14 15 16 17 18 19 20      11 12 13 14 15 16 17\n",
      "16 17 18 19 20 21 22      21 22 23 24 25 26 27      18 19 20 21 22 23 24\n",
      "23 24 25 26 27 28 29      28 29 30 31               25 26 27 28 29 30\n",
      "30\n",
      "\n",
      "        July                     August                  September\n",
      "Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su\n",
      "                   1             1  2  3  4  5                      1  2\n",
      " 2  3  4  5  6  7  8       6  7  8  9 10 11 12       3  4  5  6  7  8  9\n",
      " 9 10 11 12 13 14 15      13 14 15 16 17 18 19      10 11 12 13 14 15 16\n",
      "16 17 18 19 20 21 22      20 21 22 23 24 25 26      17 18 19 20 21 22 23\n",
      "23 24 25 26 27 28 29      27 28 29 30 31            24 25 26 27 28 29 30\n",
      "30 31\n",
      "\n",
      "      October                   November                  December\n",
      "Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su      Mo Tu We Th Fr Sa Su\n",
      " 1  2  3  4  5  6  7                1  2  3  4                      1  2\n",
      " 8  9 10 11 12 13 14       5  6  7  8  9 10 11       3  4  5  6  7  8  9\n",
      "15 16 17 18 19 20 21      12 13 14 15 16 17 18      10 11 12 13 14 15 16\n",
      "22 23 24 25 26 27 28      19 20 21 22 23 24 25      17 18 19 20 21 22 23\n",
      "29 30 31                  26 27 28 29 30            24 25 26 27 28 29 30\n",
      "                                                    31\n",
      "\n"
     ]
    }
   ],
   "source": [
    "calendar.prcal(2018)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.prmonth(year,month,w=2,l=1)\n",
    "calendar.month(year,month,w=2,l=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     June 2018\n",
      "Mo Tu We Th Fr Sa Su\n",
      "             1  2  3\n",
      " 4  5  6  7  8  9 10\n",
      "11 12 13 14 15 16 17\n",
      "18 19 20 21 22 23 24\n",
      "25 26 27 28 29 30\n"
     ]
    }
   ],
   "source": [
    "calendar.prmonth(2018,6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.setfirstweekday(weekday)\n",
    "设置每周的起始日期码。0（星期一）到6（星期日）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calendar.setfirstweekday(1)\n",
    "calendar.firstweekday()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                  2018\n",
      "\n",
      "      January                   February                   March\n",
      "Tu We Th Fr Sa Su Mo      Tu We Th Fr Sa Su Mo      Tu We Th Fr Sa Su Mo\n",
      "                   1             1  2  3  4  5             1  2  3  4  5\n",
      " 2  3  4  5  6  7  8       6  7  8  9 10 11 12       6  7  8  9 10 11 12\n",
      " 9 10 11 12 13 14 15      13 14 15 16 17 18 19      13 14 15 16 17 18 19\n",
      "16 17 18 19 20 21 22      20 21 22 23 24 25 26      20 21 22 23 24 25 26\n",
      "23 24 25 26 27 28 29      27 28                     27 28 29 30 31\n",
      "30 31\n",
      "\n",
      "       April                      May                       June\n",
      "Tu We Th Fr Sa Su Mo      Tu We Th Fr Sa Su Mo      Tu We Th Fr Sa Su Mo\n",
      "                1  2       1  2  3  4  5  6  7                1  2  3  4\n",
      " 3  4  5  6  7  8  9       8  9 10 11 12 13 14       5  6  7  8  9 10 11\n",
      "10 11 12 13 14 15 16      15 16 17 18 19 20 21      12 13 14 15 16 17 18\n",
      "17 18 19 20 21 22 23      22 23 24 25 26 27 28      19 20 21 22 23 24 25\n",
      "24 25 26 27 28 29 30      29 30 31                  26 27 28 29 30\n",
      "\n",
      "        July                     August                  September\n",
      "Tu We Th Fr Sa Su Mo      Tu We Th Fr Sa Su Mo      Tu We Th Fr Sa Su Mo\n",
      "                1  2          1  2  3  4  5  6                   1  2  3\n",
      " 3  4  5  6  7  8  9       7  8  9 10 11 12 13       4  5  6  7  8  9 10\n",
      "10 11 12 13 14 15 16      14 15 16 17 18 19 20      11 12 13 14 15 16 17\n",
      "17 18 19 20 21 22 23      21 22 23 24 25 26 27      18 19 20 21 22 23 24\n",
      "24 25 26 27 28 29 30      28 29 30 31               25 26 27 28 29 30\n",
      "31\n",
      "\n",
      "      October                   November                  December\n",
      "Tu We Th Fr Sa Su Mo      Tu We Th Fr Sa Su Mo      Tu We Th Fr Sa Su Mo\n",
      "                   1             1  2  3  4  5                   1  2  3\n",
      " 2  3  4  5  6  7  8       6  7  8  9 10 11 12       4  5  6  7  8  9 10\n",
      " 9 10 11 12 13 14 15      13 14 15 16 17 18 19      11 12 13 14 15 16 17\n",
      "16 17 18 19 20 21 22      20 21 22 23 24 25 26      18 19 20 21 22 23 24\n",
      "23 24 25 26 27 28 29      27 28 29 30               25 26 27 28 29 30 31\n",
      "30 31\n",
      "\n"
     ]
    }
   ],
   "source": [
    "calendar.prcal(2018)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.timegm(tupletime)\n",
    "和time.gmtime相反：接受一个时间元组形式，返回该时刻的时间辍（1970纪元后经过的浮点秒数）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1529282831\n"
     ]
    }
   ],
   "source": [
    "print(calendar.timegm(time.localtime()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# calendar.weekday(year,month,day)\n",
    "返回给定日期的日期码。0（星期一）到6（星期日）。月份为 1（一月） 到 12（12月）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "print(calendar.weekday(2018,6,18))"
   ]
  }
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